SOTAVerified

Paraphrase Identification

The goal of Paraphrase Identification is to determine whether a pair of sentences have the same meaning.

Source: Adversarial Examples with Difficult Common Words for Paraphrase Identification

Image source: On Paraphrase Identification Corpora

Papers

Showing 101125 of 172 papers

TitleStatusHype
Predicate-Argument Based Bi-Encoder for Paraphrase Identification0
Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification0
Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis0
Re-examining Machine Translation Metrics for Paraphrase Identification0
Reference Scope Identification in Citing Sentences0
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment0
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information0
Semantic Similarity Analysis for Paraphrase Identification in Arabic Texts0
SemEval-2013 Task 5: Evaluating Phrasal Semantics0
SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)0
SEMILAR: The Semantic Similarity Toolkit0
Semi-Markov Phrase-Based Monolingual Alignment0
Sentence Alignment using Unfolding Recursive Autoencoders0
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences0
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models0
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases0
SPADE: Evaluation Dataset for Monolingual Phrase Alignment0
Cross-Lingual Adaptation Using Universal Dependencies0
Cross-lingual paraphrase identification0
SRIUBC: Simple Similarity Features for Semantic Textual Similarity0
String Re-writing Kernel0
Multiway Attention Networks for Modeling Sentence PairsCode0
Sentence Embeddings for Russian NLUCode0
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence PairsCode0
Adaptation of Deep Bidirectional Multilingual Transformers for Russian LanguageCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERT-BaseDirect Intrinsic Dimension9,295Unverified
2data2vecAccuracy92.4Unverified
3SMART-BERTDev Accuracy91.5Unverified
4ALICEF190.7Unverified
5MFAEAccuracy90.54Unverified
6RoBERTa-large 355M + Entailment as Few-shot LearnerF189.2Unverified
7MwAN Accuracy89.12Unverified
8DIINAccuracy89.06Unverified
9MSEMAccuracy88.86Unverified
10Bi-CAS-LSTMAccuracy88.6Unverified
#ModelMetricClaimedVerifiedStatus
1FEAT2, TFKLD, SVM, Fine-grained featuresAccuracy80.41Unverified
2NMF factorization-unigrams-TFKLDAccuracy72.75Unverified
3SWEM-concatAccuracy71.5Unverified
#ModelMetricClaimedVerifiedStatus
1BERT + SCH attmVal Accuracy91.42Unverified
2BERT + SCH attnVal F1 Score88.44Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10 fold Cross validation50Unverified
#ModelMetricClaimedVerifiedStatus
1RoBETRa baseMCC0.53Unverified
#ModelMetricClaimedVerifiedStatus
1SplitEE-SAccuracy82.2Unverified
#ModelMetricClaimedVerifiedStatus
1TSDAEAP69.2Unverified
#ModelMetricClaimedVerifiedStatus
1Weighted Ensemble of TF-IDF and BERT Embeddings1:1 Accuracy82.04Unverified
#ModelMetricClaimedVerifiedStatus
1TSDAEAP76.8Unverified
#ModelMetricClaimedVerifiedStatus
1StructBERTRoBERTa ensembleAccuracy90.7Unverified
#ModelMetricClaimedVerifiedStatus
1SplitEE-SAccuracy76.7Unverified